event

An important problem in machine learning and computational statistics is to sample from an intractable target distribution, e.g. to …

This talk focuses on the central role played by optimal transport theory in the study of incomplete econometric models. Incomplete …

This talk will present the framework of weak optimal transport which allows to incorporate more general penalizations on elementary …

Stein’s method is a set of techniques for bounding distances between probability measures via integration-by-parts formulas. It …

Generative models such as Generative Adversarial Nets (GANs), Variational Autoencoders and Normalizing Flows have been very successful …

The theory of optimal transport (OT) gives rise to distance measures between probability distributions that take the geometry of the …

The Banff International Research Station will host the “Entropic Regularization of Optimal Transport and Applications” workshop in Banff from June 20 to June 25, 2021.

The CMS is organizing three-hour mini-courses to be held Friday June 4th. One of these courses will be on “Optimal Transport and Stochastic Processes on Developmental Biology”. This course may be of interest to the KI community.

Entropic optimal transport has received a lot of attention in recent years and has become a popular framework for computational optimal …

The theory of large deviations provides with a way to compute asymptotically the probability that an interacting particle system moves …